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Effect of Sea Level Variation on Calculation of Design Water Level

China Ocean Engineering 2001年第3期16卷 383-394页

作者：左军成于宜法鲍献文刘德辅 Department of Oceanography Ocean University of Qingdao

The long-term variation and seasonal variation of sea level have a notable effect on the calculation of engineering water level. Stich an effect is first analyzed in this paper. The maximal amplitude of inter-annual anomaly of monthly mean sea level along the China coast is larger than 60 cm. Both the storm surge disaster and cold wave disaster are seasonal disasters in various regions, so the water level corresponding to the 1% of the cumulative frequency in the cumulative frequency curve of hourly water level data for different seasons in various sea areas is different from design water level., for example, the difference between them reaches maximum in June, July and August for northern sea area, and maximum in September, October and November for Southern China Sea, The hourly water level data of 19 gauge stations along the China coast are analyzed. Firstly, the annual mean sea level for every station is obtained; secondly, linear changing rates of annual mean sea level are obtained with the stochastic dynamic method; thirdly, the astronomical tide and storm surge tide are obtained by subtracting the linear fitting part from the original hourly data, finally, two distributions corresponding to the astronomical tide and wind tide are obtain ed according to whether the astronomical tide and storm tide are correlative or not. So the two check water levels are obtained with the joint probability method, The maximal difference between the two water levels of 100 years' recurrence is more than 30 cm. Both of the two check water levels have disadvantages in the use of observation data, so the mean value is suggested to be taken as the final check water level. A comparison between the two check-water levels indicates that the effect of sea level variation upon design water level and check water level is larger than 80 cm at some stations.

关键词： engineering water level sea level stochastic dynamic residual level joint probability

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stochastic physics, complex systems and biology

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Frontiers of Electrical and Electronic Engineering in China 2013年第1期8卷 50-53页

作者： Hong Qian Department of Applied Mathematics University of Washington Seattle WA 98195 USA

In complex systems, the interplay between nonlinear and stochastic dynamics, e.g., J. Monod＇s necessity and chance, gives rise to an evolutionary process in Darwinian sense, in terms of discrete jumps among attractors, with punctuated equilibria, spontaneous random ＂mutations＂ and ＂adaptations＂. On an evolutionary time scale it produces sustainable diversity among individuals in a homogeneous population rather than convergence as usually predicted by a deterministic dynamics. The emergent discrete states in such a system, i.e., attractors, have natural robustness against both internal and external perturbations. Phenotypic states of a biological cell, a mesoscopic nonlinear stochastic open biochemical system, could be understood through such a perspective.

关键词： stochastic dynamic Evolutionary Time Scale Nonequilibrium Steady State Nonequilibrium Phase Transition stochastic Gene Expression

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